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Record W7135174806 · doi:10.2298/fil2521403l

Theoretical analysis on the nonlinear fractional differential equations and generalized heat equation

2025· article· en· W7135174806 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFilomat · 2025
Typearticle
Languageen
FieldMathematics
TopicNonlinear Differential Equations Analysis
Canadian institutionsBrandon University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsUniquenessHeat equationNonlinear systemBoundary value problemOperator (biology)InverseInverse problemPartial differential equation

Abstract

fetched live from OpenAlex

Using Schauder's fixed-point theorem, we establish sufficient conditions for the existence and uniqueness of solutions to the nonlinear fractional boundary value problem: \begin{cases} {}_{c}D^{\beta}\zeta(x) + f(x, \zeta(x), I^{\gamma}\zeta(x)) = 0, & x \in I = [0, 1], \quad 1 0, \\?(0) = 0, \quad \zeta(1) = \phi(\zeta), \end{cases} {(0.1)} where \phi is a functional defined on C(I, \mathbb{R}) . By constructing an appropriate Green''s function, we derive a Lyapunov-type inequality for a special case of the problem (0.1): \begin{cases} {}_{c}D^{\beta}\zeta(x) + \lambda(x)I^{\gamma}\zeta(x) = \eta(x, \zeta(x)), & x \in I = [0, 1], \quad 1 0, \\?(0) = 0, \quad \zeta(1) = \phi(\zeta). \end{cases} {(0.2)} We further make an analysis for equation (0.2) by applying the inverse operator method and the Mittag-Leffler function with illustrative examples demonstrating applications obtained. Finally, we construct an analytic solution to the following generalized fractional heat equation with an initial condition in n dimensions based on an inverse operator: \begin{cases} {}_{c}D_{t}^{\alpha}u(t, x) = \Delta_{a_{1}(x_{1}), \cdots, a_{n}(x_{n})}u(t, x) + f(t, x), & (t, x) \in \mathbb{R}^{+} \times \mathbb{R}^{n}, \quad 0 < \alpha \leq 1, \\u(0, x) = \psi(x), \end{cases} {(0.3)} where \Delta_{a_{1}(x_{1}), \cdots, a_{n}(x_{n})} = a_{1}(x_{1})\frac{\partial^{2}}{\partial x_{1}^{2}} + \cdots + a_{n}(x_{n})\frac{\partial^{2}}{\partial x_{n}^{2}}.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.699
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.327
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it